Explore KSACs by Pathway
In late 2025, the Partnership pulled together members of industry from across tech to share how the in-demand skillsets for entry-level roles in their fields have changed in the last two years. The Knowledge, Skills & Abilities and Credentials (KSACs) below reflect their feedback on entry-level expectations, especially in a tech workplace increasingly shaped by AI.
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2. Data Storage, Platforms, Operations, and Access
| Label | KSAC Description | Bloom's Taxonomy Level | |
|---|---|---|---|
| a | Explain the role of data storage systems in organizational decision-making | knowledge | 1 |
| b | Define key storage concepts including databases, data lakes, data warehouses, and lakehouses | knowledge | 2 |
| c | Differentiate structured, semi-structured, and unstructured data storage | knowledge | 3 |
| d | Describe on-premises, cloud, and multi-cloud environments and their use cases | knowledge | 2 |
| e | Explain how cloud platforms separate storage and compute and the implications of this separation for scalability, cost control, and analytics performance | knowledge | 3 |
| f | Describe how data architecture affects analytics performance | knowledge | 2 |
| g | Identify common DBMS platforms and their roles | knowledge | 2 |
| h | Explain database performance considerations and tuning concept | knowledge | 2 |
| i | Demonstrate the ability to access data using SQL or similar query interfaces to retrieve, filter, and aggregate data | skill | 3 |
| j | Modify and refine AI-generated queries for correctness, efficiency, and alignment with business logic | skill | 3 |
| k | Identify inefficient, incorrect, or risky query patterns produced by automation, such as unnecessary scans or unintended joins | ability | 4 |
Credentials
Vendor Certifications - DBMS
- Oracle Associate
- Microsoft
- IBM
Vendor Certifications - Cloud
- AWS
- Oracle
- Microsoft
